TY  - JOUR 
AU  - Janik, A.
AU  - Torrente, M.
AU  - Costabello, L.
AU  - Calvo, V.
AU  - Walsh, B.
AU  - Camps, C.
AU  - Mohamed, S.K.
AU  - Ortega, A.L.
AU  - Nová?ek, V.
AU  - Massutí, B.
AU  - Minervini, P.
AU  - García Campelo, María del Rosario
AU  - Del Barco, E.
AU  - Bosch-Barrera, J.
AU  - Menasalvas, E.
AU  - Timilsina, M.
AU  - Provencio, M.
PY  - 2023
SN  - 2473-4276
UR  - http://hdl.handle.net/20.500.11940/21702
AB  - PURPOSE: Stratifying patients with cancer according to risk of relapse can personalize their care. In this work, we provide an answer to the following research question: How to use machine learning to estimate probability of relapse in patients with...
LA  - eng
KW  - Humans
KW  - Male
KW  - Female
KW  - Aged
KW  - Carcinoma, Non-Small-Cell Lung
KW  - Lung Neoplasms
KW  - Neoplasm Recurrence, Local
KW  - Machine Learning
KW  - Prognosis
TI  - Machine Learning-Assisted Recurrence Prediction for Patients With Early-Stage Non-Small-Cell Lung Cancer
DO  - 10.1200/cci.22.00062
T2  - JCO clinical cancer informatics
M2  - e2200062
KW  - AS A Coruña
KW  - CHUAC
VL  - 7
ER  -